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With billions of users and an immense volume of daily uploads, YouTube has become an attractive target for cybercriminals aiming to leverage its vast audience. The platform's openness and trustworthiness provide an ideal environment for…

密码学与安全 · 计算机科学 2025-07-24 Iman Vakilinia

Economic incentives encourage malware authors to constantly develop new, increasingly complex malware to steal sensitive data or blackmail individuals and companies into paying large ransoms. In 2017, the worldwide economic impact of…

密码学与安全 · 计算机科学 2021-06-02 Michal Piskozub , Fabio De Gaspari , Frederick Barr-Smith , Luigi V. Mancini , Ivan Martinovic

Check Point researchers revealed a new attack vector which threatens millions of users worldwide - attack by subtitles. By crafting malicious subtitle files, which are then downloaded by a victim's media player, attackers can take complete…

密码学与安全 · 计算机科学 2024-08-02 Omri Herscovici , Omer Gull

In recent years, the darknet has become the key location for the distribution of malware and exploits. We have seen scenarios where software vulnerabilities have been disclosed by vendors and shortly after, operational exploits are…

密码学与安全 · 计算机科学 2022-11-29 Jonah Burgess

In a malicious tool attack, an attacker uploads a malicious tool to a distribution platform; once a user inadvertently installs the tool and the LLM agent selects it during task execution, the tool can compromise the user's security and…

密码学与安全 · 计算机科学 2026-05-12 Yuepeng Hu , Yuqi Jia , Mengyuan Li , Dawn Song , Neil Gong

YouTube is the leading social media platform for sharing videos. As a result, it is plagued with misleading content that includes staged videos presented as real footages from an incident, videos with misrepresented context and videos where…

计算与语言 · 计算机科学 2019-01-28 Priyank Palod , Ayush Patwari , Sudhanshu Bahety , Saurabh Bagchi , Pawan Goyal

Malware, a persistent cybersecurity threat, increasingly targets interconnected digital systems such as desktop, mobile, and IoT platforms through sophisticated attack vectors. By exploiting these vulnerabilities, attackers compromise the…

Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the…

密码学与安全 · 计算机科学 2017-12-27 ElMouatez Billah Karbab , Mourad Debbabi , Abdelouahid Derhab , Djedjiga Mouheb

Despite defensive advances in the Internet realm, Malware (malicious software) remains a Cybersecurity threat. These days, Malware can be purchased and licensed on the Internet to further customize and deploy. With hundreds of Malware…

密码学与安全 · 计算机科学 2020-02-28 Sundar Krishnan

In Android apps, their developers frequently place app promotion ads, namely advertisements to promote other apps. Unfortunately, the inadequate vetting of ad content allows malicious developers to exploit app promotion ads as a new…

密码学与安全 · 计算机科学 2025-06-03 Shang Ma , Chaoran Chen , Shao Yang , Shifu Hou , Toby Jia-Jun Li , Xusheng Xiao , Tao Xie , Yanfang Ye

URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers to evade defences and deceive end-users. Seemingly…

密码学与安全 · 计算机科学 2021-08-31 Mahathir Almashor , Ejaz Ahmed , Benjamin Pick , Sharif Abuadbba , Raj Gaire , Seyit Camtepe , Surya Nepal

YouTube draws large number of users who contribute actively by uploading videos or commenting on existing videos. However, being a crowd sourced and large content pushed onto it, there is limited control over the content. This makes…

社会与信息网络 · 计算机科学 2016-08-23 Rishabh Kaushal , Srishty Saha , Payal Bajaj , Ponnurangam Kumaraguru

Currently, Android malware detection is mostly performed on server side against the increasing number of malware. Powerful computing resource provides more exhaustive protection for app markets than maintaining detection by a single user.…

密码学与安全 · 计算机科学 2020-11-11 Ruitao Feng , Sen Chen , Xiaofei Xie , Guozhu Meng , Shang-Wei Lin , Yang Liu

As the popularity of content sharing websites such as YouTube and Flickr has increased, they have become targets for spam, phishing and the distribution of malware. On YouTube, the facility for users to post comments can be used by spam…

社会与信息网络 · 计算机科学 2012-01-19 Derek O'Callaghan , Martin Harrigan , Joe Carthy , Pádraig Cunningham

One of the major and serious threats that the Internet faces today is the vast amounts of data and files which need to be evaluated for potential malicious intent. Malicious software, often referred to as a malware that are designed by…

密码学与安全 · 计算机科学 2020-07-01 Sajedul Talukder

Mobile apps are extensively involved in cyber-crimes. Some apps are malware which compromise users' devices, while some others may lead to privacy leakage. Apart from them, there also exist apps which directly make profit from victims…

密码学与安全 · 计算机科学 2021-06-14 Zhuo Chen , Lei Wu , Jing Cheng , Yubo Hu , Yajin Zhou , Zhushou Tang , Yexuan Chen , Jinku Li , Kui Ren

Unscrupulous content creators on YouTube employ deceptive techniques such as spam and clickbait to reach a broad audience and trick users into clicking on their videos to increase their advertisement revenue. Clickbait detection on YouTube…

社会与信息网络 · 计算机科学 2021-12-17 Peya Mowar , Mini Jain , Ruchika Goel , Dinesh Kumar Vishwakarma

Malware is a type of malicious program that replicate from host machine and propagate through network. It has been considered as one type of computer attack and intrusion that can do a variety of malicious activity on a computer. This paper…

密码学与安全 · 计算机科学 2009-09-29 Y. Robiah , S. Siti Rahayu , M. Mohd Zaki , S. Shahrin , M. A. Faizal , R. Marliza

Short video platforms, such as YouTube, Instagram, or TikTok, are used by billions of users globally. These platforms expose users to harmful content, ranging from clickbait or physical harms to misinformation or online hate. Yet, detecting…

多媒体 · 计算机科学 2024-11-12 Claire Wonjeong Jo , Miki Wesołowska , Magdalena Wojcieszak

We propose a novel method to detect and visualize malware through image classification. The executable binaries are represented as grayscale images obtained from the count of N-grams (N=2) of bytes in the Discrete Cosine Transform (DCT)…

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